Village Super Market (VLGEA) Payables (2011 - 2026)
Village Super Market (VLGEA) recorded Payables of $39.1 million in fiscal Q3 2026 (quarter ended Apr 25, 2026), up 3.1% from $37.92 million a year earlier and up 5.4% from the prior quarter.
Powered by 
Analysis
Village Super Market (VLGEA) Payables (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 26, 2025), Village Super Market reported Payables of $33.72 million, up 15.5% from FY2024.
- Annual Payables has a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- Across earlier fiscal years, Payables came in at $29.18 million in FY2024 (-9.3%), $32.18 million in FY2023 (+26.7%), $25.4 million in FY2022 (-1.3%) and $25.73 million in FY2021 (-14.5%).
- The fiscal Q3 2026 figure is the highest quarterly Payables in data going back to fiscal Q4 2011.
- On a year-over-year basis, Payables has increased for six consecutive quarters, with growth averaging 4.8% over the last eight quarters.
- Peak year-over-year performance for Payables in the last five years was growth of 27.5% in fiscal Q1 2023, against a decline of 20.9% in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $37.09 million (Q2 2026), $34.69 million (Q1 2026) and $33.72 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 78.75 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 22.36 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 6.64 Bn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | 10.78 Bn |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 4.35 Bn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 853.66 Mn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 1.63 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 2.96 Bn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 1.76 Bn |
| 10 | Village Super Market | 657.83 Mn | 140.66 Mn | - | 39.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 25, 2026 | 39.10 Mn |
| Jan 24, 2026 | 37.09 Mn |
| Oct 25, 2025 | 34.69 Mn |
| Jul 26, 2025 | 33.72 Mn |
| Apr 26, 2025 | 37.92 Mn |
| Jan 25, 2025 | 35.04 Mn |
| Oct 26, 2024 | 34.17 Mn |
| Jul 27, 2024 | 29.18 Mn |
| Apr 27, 2024 | 31.44 Mn |
| Jan 27, 2024 | 33.21 Mn |
| Oct 28, 2023 | 35.71 Mn |
| Jul 29, 2023 | 32.18 Mn |
| Apr 29, 2023 | 29.53 Mn |
| Jan 28, 2023 | 26.59 Mn |
| Oct 29, 2022 | 30.69 Mn |
| Jul 30, 2022 | 25.40 Mn |
| Apr 30, 2022 | 24.75 Mn |
| Jan 29, 2022 | 23.23 Mn |
| Oct 30, 2021 | 24.07 Mn |
| Jul 31, 2021 | 25.73 Mn |
API Access
Village Super Market Payables API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=payables&ticker=VLGEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "ticker": "VLGEA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=payables&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();